markdown2 < 2.4.0 regex DoS vulnerability
markdown2 >=1.0.1.18, fixed in 2.4.0, is affected by a regular expression denial of service vulnerability. If an attacker provides a malicious string, it can make markdown2 processing difficult or delayed for an extended period of time.
Local privilege escalation via unanchored regex checks in needrestart 0.8 to 3.5 (pre-3.6).
needrestart 0.8 through 3.5 before 3.6 is prone to local privilege escalation. Regexes to detect the Perl, Python, and Ruby interpreters are not anchored, allowing a local user to escalate privileges when needrestart tries to detect if interpreters are using old source files.
Saleor GraphQL exposes sensitive data in error messages
Saleor is a headless, GraphQL commerce platform delivering personalized shopping experiences. Some internal Python exceptions are not handled properly and thus are returned in API as error messages. Some messages might contain sensitive information like user email address in staff-authenticated requests.
OrbiTeam BSCW Classic < 7.4.3 RCE via XML injection in bscw.cgi op=_editfolder.EditFolder
OrbiTeam BSCW Classic before 7.4.3 allows exportpdf authenticated remote code execution (RCE) via XML tag injection because reportlab\platypus\paraparser.py (reached via bscw.cgi op=_editfolder.EditFolder) calls eval on attacker-supplied Python code. This is fixed in 5.0.12, 5.1.10, 5.2.4, 7.3.3, and 7.4.3.
Plone versions 4 and 5: Private content access via str.format in through-the-web templates and scripts
Accessing private content via str.format in through-the-web templates and scripts in Plone 2.5-5.1rc1. This improves an earlier hotfix. Since the format method was introduced in Python 2.6, this part of the hotfix is only relevant for Plone 4 and 5.
Django versions before 1.6.11, 1.7.7, and 1.8c1 vulnerable to denial-of-service (infinite loop) due to "strip_tags" function with specific Python versions
The utils.html.strip_tags function in Django 1.6.x before 1.6.11, 1.7.x before 1.7.7, and 1.8.x before 1.8c1, when using certain versions of Python, allows remote attackers to cause a denial of service (infinite loop) by increasing the length of the input string.
Untrusted search path vulnerability in Luci 0.26.0 via malicious .egg-info file
Untrusted search path vulnerability in python-paste-script (aka paster) in Luci 0.26.0, when started using the initscript, allows local users to gain privileges via a Trojan horse .egg-info file in the (1) current working directory or (2) its parent directories.
Graphite 0.9.5-0.9.10: Remote code execution via unsafe pickle
Graphite 0.9.5 through 0.9.10 uses the pickle Python module unsafely, which allows remote attackers to execute arbitrary code via a crafted serialized object, related to (1) remote_storage.py, (2) storage.py, (3) render/datalib.py, and (4) whitelist/views.py, a different vulnerability than CVE-2013-5093.
B&R APROL allows root-level access via AprolCluster script (CVE-XXXXX)
An issue was discovered in B&R Industrial Automation APROL before R4.2 V7.08. Arbitrary commands could be injected (using Python scripts) via the AprolCluster script that is invoked via sudo and thus executes with root privileges, a different vulnerability than CVE-2019-16364.
TensorFlow segfaults in tf.raw_ops.CompositeTensorVariantToComponents due to an invalid input
TensorFlow is an open source platform for machine learning. An input `encoded` that is not a valid `CompositeTensorVariant` tensor will trigger a segfault in `tf.raw_ops.CompositeTensorVariantToComponents`. We have patched the issue in GitHub commits bf594d08d377dc6a3354d9fdb494b32d45f91971 and 660ce5a89eb6766834bdc303d2ab3902aef99d3d. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Introducing the "VAITP dataset": a specialized repository of Python vulnerabilities and patches, meticulously compiled for the use of the security research community. As Python's prominence grows, understanding and addressing potential security vulnerabilities become crucial. Crafted by and for the cybersecurity community, this dataset offers a valuable resource for researchers, analysts, and developers to analyze and mitigate the security risks associated with Python. Through the comprehensive exploration of vulnerabilities and corresponding patches, the VAITP dataset fosters a safer and more resilient Python ecosystem, encouraging collaborative advancements in programming security.
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Sun Tzu – “The Art of War”
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